Legg Mason Bw Fund Statistic Functions Linear Regression Slope

LBORX Fund

USD 8.67 -0.06 -0.69%

Use the statistic functions workspace to apply Linear Regression Slope function and other studies to LEGG MASON. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context.Please specify Time Period to run this model.

Symbol

This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression Slope is the rate of change in Legg Mason Bw price series over its benchmark or peer price series.

LEGG MASON Technical Analysis Modules

Most technical analysis of LEGG MASON help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for LEGG from various momentum indicators to cycle indicators. When you analyze LEGG charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

	Cycle Indicators
	Math Operators
	Math Transform
	Momentum Indicators
	Overlap Studies
	Pattern Recognition
	Price Transform
	Statistic Functions
	Volatility Indicators
	Volume Indicators

Mutual Fund Overview, Methodology & Data Sources

Holdings composition and factor tilts shape how LEGG MASON behaves across cycles. The current allocation is approximately 51.0% bonds and 1.0% cash. It is classified under World Bond within the Legg Mason family. Price movements may be comparatively less responsive to macroeconomic volatility.

Methodology

Unless otherwise specified, data for Legg Mason Bw is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Legg Mason Bw market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

Legg Mason Bw may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

Last reviewed on March 1st, 2026

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A reliable portfolio-monitoring process is important because investors need to see whether Legg Mason Bw is improving total return without quietly increasing concentration or risk. This is most helpful when investors want a consistent framework for balancing conviction with risk control.

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